Steve,

Check out Grounded Cognition, by Barsalou. He makes the fascinating point that 
purely symbolic approaches to conceptualisation are actually, historically, an 
aberration .
Origins of Grounded Cognition

Perhaps surprisingly, grounded cognition has

been the dominant view of cognition for

most of recorded history. Nearly all prescientific

views of the human mind going to back

to ancient philosophers (e.g., Epicurus 341–

270 B.C.E./1987) assumed that modal representations

and imagery represent knowledge

(Barsalou 1999, J. Prinz 2002), analogous to

current simulation views. Even nativists, such

as Kant (1787/1965) and Reid (1785/1969),

frequently discussed modal images in knowledge

(among other constructs).

In the early twentieth century, behaviorists

attacked late nineteenth-century studies of

introspection, banishing imagery from much

of psychology for not being sufficiently scientific,

along with other cognitive constructs

(Watson 1913). When cognitive constructs

reemerged during the Cognitive Revolution

of the mid-twentieth century, imagery was not

among them, probably for two reasons. First,

the new cognitivists rememberedWatson’s attacks

on imagery and wanted to avoid the same

criticisms. Second, they were enthralled with

new forms of representation inspired by major

developments in logic, linguistics, statistics,

and computer science. As a result, theories

of knowledge adopted a wide variety

of amodal representations, including feature

lists, semantic networks, and frames (Barsalou

& Hale 1993).

When early findings for mental imagery

were reported in the 1960s (for reviews, see

Paivio 1971, Shepard & Cooper 1982), the

new cognitivists dismissed and discredited

them (e.g., Pylyshyn 1973). Nevertheless, the

behavioral and neural evidence for imagery

eventually became so overwhelming that imagery

is now accepted as a basic cognitive

mechanism (Kosslyn et al. 2006).

Most recently, research in grounded cognition

has challenged theories that originated

during the Cognitive Revolution on

www.annualreviews.org • Grounded Cognition 619

Annu. Rev. Psychol. 2008.59:617-645. Downloaded from 
arjournals.annualreviews.org

by EMORY UNIVERSITY on 02/13/08. For personal use only.

numerous grounds (e.g., Barsalou 1999,

Glenberg 1997, Harnad 1990, Lakoff 1987,

Searle 1980). First, little empirical evidence

supports the presence of amodal symbols

in cognition. Instead, amodal symbols were

adopted largely because they provided elegant

and powerful formalisms for representing

knowledge, because they captured important

intuitions about the symbolic character of

cognition, and because they could be implemented

in artificial intelligence. Second, traditional

theories have been challenged on the

grounds that they fail to explain how cognition

interfaces with perception and action (the

grounding problem). Third, traditional theories

increasingly face a lack of understanding

about where the brain stores amodal symbols

and about how amodal symbols could be consistent

with neural principles of computation



  Mike, 

  Thanks for the reference, which I will study further.  As many know, the 
Texai KB is currently crisp and symbolic, and will have to stay that way until 
after the bootstrap English dialog system is developed.  I want Texai to be 
implemented in a cognitively plausible manner, and articles such as this one 
are very pertinent to my longer range plans for Texai, especially regarding the 
scoping and organization of agent knowledge.  When the future Texai deals with 
a dog that it sees, visual representations of dogs must be close at hand.

  More comforting with regard to my current symbolic-only approach is this 
quote from the paper:


  Although skepticism that discrete amodal symbols underlie conceptual 
processing in the brain continues to increase, there is little doubt that the 
brain is a symbolic system. Unlike cameras and video recorders, the brain uses 
categorical knowledge to interpret regions of experience that contain agents, 
objects, actions, mental states, and so forth. The brain does not achieve its 
powerful forms of intelligence by processing holistic images.


  Stephen L. Reed


  Artificial Intelligence Researcher
  http://texai.org/blog
  http://texai.org
  3008 Oak Crest Ave.
  Austin, Texas, USA 78704
  512.791.7860



  ----- Original Message ----
  From: Mike Tintner <[EMAIL PROTECTED]>
  To: [email protected]
  Cc: dan michaels <[EMAIL PROTECTED]>
  Sent: Sunday, April 20, 2008 12:17:00 PM
  Subject: [agi] Concepts - Cog Sci/AI vs Cog Neurosci


  Current Directions in Psychological Science – April 2008 – In Press

  
http://www.psychologicalscience.org/journals/cd/17_2_inpress/Barsalou_completed.pdf

  THE DOMINANT THEORY IN COGNITIVE SCIENCE

  Across diverse areas of psychology, computer science, linguistics, and 
philosophy, the

  dominant account of the conceptual system is the theory of semantic memory 
(e.g., Smith, 1978).

  According to this theory, the conceptual system is a modular memory store 
that contains amodal

  knowledge about categories. Semantic memory is viewed as modular because it 
is assumed to be

  separate from the brain’s episodic-memory system and also from the brain’s 
modal systems for

  perception, action, and affect. Because semantic memory lies outside modal 
systems, its

  representations are viewed as different from theirs, providing a higher, 
amodal level of

  representation.

  The transduction principle underlies the view that amodal representations 
develop for

  categories in a modular conceptual system



  THE DOMINANT THEORY IN COGNITIVE NEUROSCIENCE

  A very different view of the conceptual system has arisen in cognitive 
neuroscience. According

  to this view, categorical knowledge is grounded in the brain’s modal systems, 
rather than being

  represented amodally in a modular semantic memory (e.g., Martin, 2001). For 
example, knowledge

  about dogs is represented in visual representations of how dogs look, in 
auditory representations of

  how dogs sound, and in motor representations of how to interact with dogs. 
Because the

  representational systems that underlie perception, action, and affect are 
also used to represent

  categorical knowledge, the conceptual system is neither modular nor amodal. 
Instead, perception and

  conception share overlapping systems.

  Empirical evidence has been the driving force behind this view.



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